Article Metrics

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This resource establishes CorayNova Academic Press's reader-facing standards for understanding article metrics and indicators.

Article metrics and indicators are contextual signals. They are not direct measures of article quality, author quality, journal quality, research integrity, methodological soundness, social value, or policy importance.

· Core Principle

Metrics may help readers understand patterns of access, attention, citation, and use where available. They should always be interpreted alongside the article's aims, methods, evidence, limitations, field, publication date, article type, and intended readership.

Different fields, languages, publication formats, article ages, and reader communities generate different metric patterns. A lower or higher metric count should not be used by itself to judge the quality, credibility, or value of an article.

· Metrics That May Be Displayed

Metric or Indicator

What It May Indicate

Important Limitations

Article views

How often an article page has been viewed where platform data are available.

Views may reflect browsing, teaching, public interest, or repeated access; they do not measure quality.

PDF downloads

How often PDF files have been downloaded where available.

Downloads do not prove that the article was read, cited, trusted, or used.

Citations

How often later works cite the article in indexed or linked sources where available.

Citation practices vary by field, time, article type, language, and database coverage.

Crossref cited-by

Citation links identified through Crossref services where available.

Coverage depends on participating publishers, metadata quality, and update timing.

Altmetric or social attention

Mentions in media, social platforms, policy sources, or online discussion where supported.

Attention may be positive, negative, neutral, automated, or unrelated to scholarly quality.

Other indicators

Other platform, repository, discovery, or attention signals that a journal may display.

Definitions and coverage should be checked before interpretation.

· Responsible Interpretation

· Read the article before relying on metrics or indicators.

· Consider the publication date, field, article type, readership, access model, and language context.

· Use metrics as supporting context, not as a substitute for scholarly assessment.

· Do not compare articles, authors, journals, fields, or institutions using a single indicator without context.

· Do not infer endorsement, validity, social value, or methodological quality from views, downloads, citations, or attention alone.

· Metric Integrity

Manipulation is prohibited. Readers, authors, editors, reviewers, institutions, third parties, and service providers must not attempt to manipulate views, downloads, citations, attention indicators, recommendation systems, or usage statistics.

Prohibited conduct includes automated refreshing, bot traffic, false downloads, citation rings, excessive self-citation arrangements, reciprocal citation schemes, purchased promotion designed to distort attention indicators, misleading social media campaigns, or other artificial inflation of metrics.

Prohibited Practice

Reason

Bot traffic or automated refreshing

Artificially inflates views or usage data and harms metric reliability.

False or repeated downloads

Creates misleading usage signals.

Citation rings or reciprocal citation arrangements

Distorts scholarly citation patterns.

Purchased or undisclosed attention manipulation

Misleads readers about public or scholarly interest.

Misrepresenting metrics in promotion

Can create false claims about article quality, journal standing, or author impact.

· Availability

Metrics and indicators are displayed where available and according to each journal's platform configuration, metadata connections, and published information. CorayNova does not state that all journals display all metrics at all times.

Readers should consult the relevant article page on the CorayNova Journals Platform for the metrics currently displayed by that journal. Questions about article-level metadata or metric presentation may be sent to editorial@coraynova.com; technical display problems may be sent to support@coraynova.com.